Title:  Software Engineer (Java, Virtualization & Storage)

Job Summary

We are looking for a motivated, self-driven engineer who has zeal to build enterprise ready products to join the Virtualization engineering team, responsible for building and enhancing scalable on prem or cloud native VM life cycle management solutions. In this role, you will own end‑to‑end delivery of features—from design and development to testing, automation, and production readiness. This role provides opportunity to collaborate closely with senior engineers and cross‑functional partners, and contribute to the reliability, scalability, and quality of large‑scale cloud platforms. 

Job Requirements

• Design, develop, and maintain backend services and components for the virtualization solution platform  
• Own features end‑to‑end, including design, implementation, unit/integration testing, automation, and supportability 
• Contribute to system architecture and technical design discussions 
• Build and maintain automated tests to ensure high code quality and regression coverage 
• Debug and resolve complex issues in development, test, and production environments 
• Participate in code reviews and uphold engineering best practices 
• Continuously improve performance, scalability, reliability, and maintainability of the system 

Required Skills  

• Strong hands‑on experience in Java and J2EE technologies 
• Experience building distributed systems or cloud‑based platforms 
• Solid understanding of data structures, algorithms, and object‑oriented design 
• Hands‑on experience with testing and automation (unit, integration, system tests) 
• Experience with Linux environments, debugging, and troubleshooting 
• Strong knowledge of virtualization and hypervisors like KVM, hyper-v, Xen etc, storage and protocols like ISCSI, NFS, FC, NVMe 
• Experience working in an agile development environment 
• Ability to take ownership and drive tasks independently to completion 
• Exposure to CI/CD pipelines and DevOps practices 
• Experience with cloud management platforms (e.g., CloudStack, OpenStack, Kubernetes ecosystems) is preferred 

Education

• Bachelor’s degree with 4-7 years of experience or Master’s degree with 2-4 years of relevant experience.